Giulia Di Pietro

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2010

pdf bib
A Resource and Tool for Super-sense Tagging of Italian Texts
Giuseppe Attardi | Stefano Dei Rossi | Giulia Di Pietro | Alessandro Lenci | Simonetta Montemagni | Maria Simi
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

A SuperSense Tagger is a tool for the automatic analysis of texts that associates to each noun, verb, adjective and adverb a semantic category within a general taxonomy. The developed tagger, based on a statistical model (Maximum Entropy), required the creation of an Italian annotated corpus, to be used as a training set, and the improvement of various existing tools. The obtained results significantly improved the current state-of-the art for this particular task.
Search
Co-authors
Venues
Fix data